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Sony Research and AI Singapore (AISG) will collaborate on research for the SEA-LION family of large language models (LLMs). SEA-LION, which stands for Southeast Asian Languages In One Network, aims to improve the accuracy and capability of AI models when processing languages from the region. This is particularly important given the linguistic diversity of Southeast Asia, which is home to over a thousand different languages.
Introduction Google Sheets is one of the most popular and widely used alternatives to Excel. Its collaborative environment offers features such as real-time editing, and version control, and its tight integration with Google Suite which allows you to call Google Sheets in Google Docs, helps to bring the best of the Google workspace. You can […] The post How to Automate Google Sheets?
In today's interconnected world, the ability to communicate across language barriers is more crucial than ever. For content creators, marketers, and businesses looking to expand their global reach, AI video translation tools have become invaluable assets. These cutting-edge technologies are revolutionizing the way we localize and distribute video content, making it possible to engage audiences worldwide with unprecedented ease and efficiency.
Introduction Suppose you are interacting with a friend who is knowledgeable but at times lacks concrete/informed responses or when he/she does not respond fluently when faced with complicated questions. What we are doing here is similar to the prospects that currently exist with Large Language Models. They are very helpful, although their quality and relevance […] The post Enhancing LLMs with Structured Outputs and Function Calling appeared first on Analytics Vidhya.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Employee training is essential to acclimating to a role and absorbing company culture; likewise, it allows people to learn new skills and grow professionally. Nevertheless, the thrill of working for a new company or getting promoted to a new position gets extinguished the second that the “employee training” email pops up in one’s inbox. Despite companies in the US spending over $100 billion on traditional learning solutions in 2022 , the webinars, pre-recorded videos and courses of today are so
Understanding who is speaking when in a given audio recording is critical in extracting useful information from audio recordings and providing valuable end-user experiences. Speaker diarization is a technique used to obtain this information. It works by partitioning an audio file into homogeneous segments, or "utterances", according to speaker identity.
Understanding who is speaking when in a given audio recording is critical in extracting useful information from audio recordings and providing valuable end-user experiences. Speaker diarization is a technique used to obtain this information. It works by partitioning an audio file into homogeneous segments, or "utterances", according to speaker identity.
Eric Landau is the CEO & Co-Founder of Encord , an active learning platform for computer vision. Eric was the lead quantitative researcher on a global equity delta-one desk, putting thousands of models into production. Before Encord, he spent nearly a decade in high-frequency trading at DRW. He holds an S.M. in Applied Physics from Harvard University, M.S. in Electrical Engineering, and B.S. in Physics from Stanford University.
A new report reveals that while businesses view generative AI (GenAI) as a game changer for customer experience (CX), many struggle with the cost of implementation. The findings come from CallMiner’s 2024 CX Landscape Report , developed in collaboration with research firm Vanson Bourne , which surveyed 700 global CX leaders across industries including financial services, healthcare, retail, and technology.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
The ability to accurately interpret complex visual information is a crucial focus of multimodal large language models (MLLMs). Recent work shows that enhanced visual perception significantly reduces hallucinations and improves performance on resolution-sensitive tasks, such as optical character recognition and document analysis. Several recent MLLMs achieve this by utilizing a mixture of vision encoders.
It’s an exciting week here in Cleveland as MAICON kicks off, and we have just as exciting AI news and updates to share in this weeks episode. Join Mike and Paul as they unveil SmarterX's newest tool, ProblemsGPT. The guys also break down use cases of Generative AI productivity benefits, plus, hear Karpathy's insights on the journey toward automated intelligence.
The Chai Discovery team announced the launch of Chai-1 , a groundbreaking multi-modal foundation model designed to predict molecular structures with unprecedented accuracy. This release marks a major advancement in molecular biology and drug discovery, with the model boasting state-of-the-art capabilities across a diverse range of tasks. As a freely available tool, Chai-1 opens new avenues for research and commercial applications, particularly in drug discovery.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
Legal Innovators UK, the pioneering legal tech conference taking place on November 6th and 7th, is delighted to announce a 24-hour flash ticket sale starting… today! There.
Retrieval-augmented generation (RAG), a technique that enhances the efficiency of large language models (LLMs) in handling extensive amounts of text, is critical in natural language processing, particularly in applications such as question-answering, where maintaining the context of information is crucial for generating accurate responses. As language models evolve, researchers strive to push the boundaries by improving how these models process and retrieve relevant information from large-scale
The intersection of computational physics and machine learning has brought significant progress in understanding complex systems, particularly through neural networks. Graph neural networks (GNNs) have emerged as powerful tools for modeling interactions within physical systems, capitalizing on their ability to manage data-rich environments. Recently, there has been a shift toward directly incorporating domain-specific knowledge, such as Hamiltonian dynamics, into these models.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
A significant challenge in the field of artificial intelligence, particularly in generative modeling, is understanding how diffusion models can effectively learn and generate high-dimensional data distributions. Despite their empirical success, the theoretical mechanisms that enable diffusion models to avoid the curse of dimensionality—where the number of required samples increases exponentially with data dimension—remain poorly understood.
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie There were plenty of LLM developments again this week, including a new Agent coding product from Replit, an Enterprise LLM platform with a 500k Claude context window at Anthropic, a new Deepseek 2.5 model, and a $1bn seed fundraising by Ilya Sutskever for his new startup.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
A significant bottleneck in large language models (LLMs) that hampers their deployment in real-world applications is the slow inference speeds. LLMs, while powerful, require substantial computational resources to generate outputs, leading to delays that can negatively impact user experience, increase operational costs, and limit the practical use of these models in time-sensitive scenarios.
The noslegal open source data standards team has announced that its taxonomy has now been adopted by several major law firms, including A&O Shearman, and.
Protein engineering is essential for designing proteins with specific functions, but navigating the complex fitness landscape of protein mutations poses a significant challenge, making it hard to find optimal sequences. Zero-shot approaches, which predict mutational effects without relying on homologs or multiple sequence alignments (MSAs), reduce some dependencies but fall short in predicting diverse protein properties.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
Music recommendation systems have become essential to streaming services, helping users discover new songs and re-listen to their favorites. These systems use algorithms that analyze users’ listening patterns, making personalized song recommendations. One key type of algorithm used in these services is sequential recommendation systems, which predict the next song a user will enjoy based on previous listening sessions.
We are excited to announce the addition of three new integrations in Databricks Partner Connect—a centralized hub that allows you to integrate partner.
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